Head-to-head
Flux — Open-weights model family from Black Forest Labs with strong photorealism. Stable Diffusion — Open-source model line that powers most of the third-party AI image stack. Below: where each one wins, where each one loses, and where Synexa beats both.
No credit card. Free credits on signup. Commercial use on every tier.






Open-weights model family from Black Forest Labs with strong photorealism. Pricing: Compute-only via providers. Best for developers wiring the model into custom pipelines.
Strengths: photoreal output, open weights, prompt adherence. Trade-offs: raw model — no UI, gallery or workflow, needs a host, no built-in LoRA training.
Open-source model line that powers most of the third-party AI image stack. Pricing: Free (self-host). Best for tinkerers with a GPU.
Strengths: open weights, huge LoRA ecosystem, runs locally. Trade-offs: raw model — no app, requires GPU or hosting, steep learning curve.
If you primarily care about photoreal output, Flux is the safer pick. If you primarily care about open weights, Stable Diffusion is the safer pick.
In practice, serious creators end up running both — or switching to a unified studio. Synexa combines Flux, SDXL, identity-locked creators and AI video in one workspace, with free credits on signup, no watermark once you buy credits and full commercial license on every tier.
Trust & safety
Your prompts and renders are never used to train models. Ever.
You own your renders and can use them for campaigns, packaging, editorial and print, on every tier.
Free images carry a small Synexa mark. Any credit pack or plan removes it from what you make next.
One click in Billing. You keep access until the period ends.
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